Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published Date: Apr 25, 2020

Abstract

BACKGROUND: Preoperative detection of lymph node (LN) metastasis is critical for planning treatments in colon cancer (CC). The clinical diagnostic criteria based on the size of the LNs are not sensitive to determine metastasis using CT images. In this retrospective study, we investigated the potential value of CT texture features to diagnose LN metastasis using preoperative CT data and patient characteristics by developing quantitative prediction models.

Authors

  • Aydin Eresen
    Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
  • Yu Li
    Department of Public Health, Shihezi University School of Medicine, 832000, China.
  • Jia Yang
    Operating Room, Cheng'an County People's Hospital, Handan, Hebei, China.
  • Junjie Shangguan
    Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
  • Yury Velichko
    Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
  • Vahid Yaghmai
    University of California Irvine, Radiology Department, UCI Medical Center, Orange, California, USA.
  • Al B Benson
    Robert H. Lurie Comprehensive Cancer Center of Northwestern University, 675 N. St. Clair, 21st Floor, Chicago, IL, 60611, USA. albenson@nm.org.
  • Zhuoli Zhang
    Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago, IL, 60611, USA. zhuoli-zhang@northwestern.edu.

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